Work

HyperGraph-based Minimax Probability Machines for Semi-Supervised Learning

Year: 2025

Type: conference-paper

Abstract: Semi-Supervised Learning (SSL) is a method that combines both supervised as well as unsupervised learning to effectively learn from the humongous unlabelled data. In this paper, we introduce a Semi-Supervised Minimax Probability Machine model based on the Hypergraph Laplacian, leveraging hypergraphs to capture higher-order correlations within the intrinsic geometry of the manifold, thereby enhancing the learning process. Extensive experimental evaluations on well-known multi-label datasets showcase the efficacy and validity of our proposed model.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2025.04.625

Authors: Reshma Rastogi, Sambhav Jain, Ankush Bisht

Institution: South Asian University

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410258129

FWCI:

Cites: 29

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Related to: 10